GENERATIVE AI IN WORKFORCE PLANNING AND TALENT MANAGEMENT

Abstract

Generative Artificial Intelligence (AI) has rapidly emerged as a transformative force in modern business, redefining how organizations create value, optimize operations, and engage with customers. Unlike traditional AI systems that primarily analyze data for prediction and automation, generative AI leverages advanced deep learning models—such as Generative Adversarial Networks (GANs) and transformer architectures—to generate original content, ideas, and solutions. This paper provides an overview of generative AI and its growing significance in business environments. It explores key applications across domains including marketing, finance, retail, manufacturing, and customer service, highlighting how generative AI enables personalization, automation, and data-driven innovation at scale. The discussion also emphasizes the advantages of generative AI in data-rich industries, where continuous learning and adaptability drive improved decision-making and operational efficiency. Overall, the study underscores generative AI’s potential to enhance competitiveness and shape the future of intelligent business systems.